An ultrasound system comprising a probe adapted for emitting and receiving ultrasound waves inside a medium, and a processing unit connected to said probe and adapted for processing signals from the probe. The probe is configured so as to behave as a Fresnel lens for focusing the ultrasound waves. The processing unit analyses signals from the probe for sensing the medium at a plurality of focal points.

The invention provides a method for controlling the generation of a compound ultrasonic image. The method includes obtaining a first ultrasound image and applying adaptive beamforming to the first ultrasound image, thereby generating a second ultrasound image. A weighting is determined based on the first and second ultrasound images, wherein the weighting comprises at least one weighting component. The compound ultrasound image is then generated based on the first and second ultrasound images and the weighting component.

An ultrasound system comprising a probe adapted for emitting and receiving ultrasound waves inside a medium, and a processing unit connected to said probe and adapted for processing signals from the probe. The probe is configured so as to behave as a Fresnel lens for focusing the ultrasound waves. The processing unit analyses signals from the probe for sensing the medium at a plurality of focal points.

Provided are a method and device for ultrasonic imaging by synthetic focusing. The method comprises: exciting a plurality of matrix elements of an ultrasonic probe to transmit plane waves many times, wherein transmitting apodizations at the time of every transmission of the plane waves by the plurality of matrix elements correspond to the respective lines in a measurement matrix in which elements are randomly distributed; after every transmission of the plane waves, exciting all the matrix elements of the ultrasonic probe to receive echo signals, in order to obtain channel data; recovering a synthetic focusing channel data set by use of a compressed sensing reconstruction algorithm according to a channel data set and the measurement matrix; and subjecting the synthetic focusing channel data set to beamforming so as to generate an ultrasonic image.

An ultrasound detection device includes a probe and a transceiver. The probe includes first and second transducers, and an amplifier circuit. The first transducer transmits ultrasound. The second transducer includes a first electrode connected to a first wire, and converts the ultrasound into an electrical signal. The amplifier circuit includes first and second transistors. The first transistor includes a third electrode connected to the first wire, a fourth electrode as a gate or a base connected to a second electrode of the second transducer, and a fifth electrode connected to the fourth electrode via a resistor and connected to a second wire via a resistor. The second transistor includes an electrode connected to the first wire, an electrode as a gate or a base connected to the fifth electrode, and an electrode connected to the second wire via a resistor and connected to the second wire via a capacitor.

A method may include generating a series of two-dimensional (2D) ultrasound images of the tissue volume associated with a plurality of positions along a scanning direction of the tissue volume; estimating, for each pair of consecutive 2D ultrasound images of the series of 2D ultrasound images, a distance between the positions associated with the pair of consecutive 2D ultrasound images based on a classification of a difference image generated from the pair of consecutive 2D ultrasound images using a deep neural network to produce a plurality of estimated distances associated with the plurality of pairs of consecutive 2D ultrasound images, respectively; modifying the number of 2D ultrasound images in the series of 2D ultrasound images based on the plurality of estimated distances to produce a modified series of 2D ultrasound images; and rendering the 3D ultrasound image of the tissue volume based on the modified series of 2D ultrasound images.

A method may include generating a series of two-dimensional (2D) ultrasound images of the tissue volume associated with a plurality of positions along a scanning direction of the tissue volume; estimating, for each pair of consecutive 2D ultrasound images of the series of 2D ultrasound images, a distance between the positions associated with the pair of consecutive 2D ultrasound images based on a classification of a difference image generated from the pair of consecutive 2D ultrasound images using a deep neural network to produce a plurality of estimated distances associated with the plurality of pairs of consecutive 2D ultrasound images, respectively; modifying the number of 2D ultrasound images in the series of 2D ultrasound images based on the plurality of estimated distances to produce a modified series of 2D ultrasound images; and rendering the 3D ultrasound image of the tissue volume based on the modified series of 2D ultrasound images.

A method for use in acoustic imaging, comprising: transmitting, from a transmitter, a first sound wave pulse at a first frequency determined by a maximum sampling rate of a receiver; transmitting at least one second sound wave pulse at a frequency substantially equal to the first frequency, the first and at least one second sound wave pulses being transmitted substantially within a fraction of a sample interval of the receiver; receiving and sampling, at the receiver, a reflection of at least two of the first and at least one second pulses to generate a set of receiver samples; and expanding the set of receiver samples, based on the first frequency and a total number of the first and at least one second pulses transmitted, to generate an expanded sample set with a larger number of samples than the set of receiver samples.

Aspects of the technology described herein related to controlling, using control circuitry, modulation circuitry to modulate and delay first ultrasound data generated by first ultrasound transducers positioned at a first azimuthal position of an ultrasound transducer array of an ultrasound device and second ultrasound data generated by second ultrasound transducers positioned at a second azimuthal position of the ultrasound transducer array of the ultrasound device, such that the first ultrasound data is delayed by a first delay amount and the second ultrasound data is delayed by a second delay amount that is different from the first delay amount. The first and second ultrasound data received from the modulation circuitry may be filtered and summed. The ultrasound transducer array, the control circuitry, the modulation circuitry, the filtering circuitry, and the summing circuitry may be integrated onto a semiconductor chip or one or more semiconductor chips packaged together.

The present disclosure provides a LiDAR device and a ranging adjustment method of the same. The ranging adjustment method includes: turning off a laser beam emission module and turning on a laser beam receiving module, to obtain histogram data of ambient light; adjusting detection efficiency of the laser beam receiving module based on the histogram data of the ambient light; turning on the laser beam emission module and the laser beam receiving module, to obtain histogram data of a current optical signal; and comparing the histogram data of the current optical signal with the histogram data of the ambient light, and determining histogram data of an echo signal and distance information of a to-be-detected object, based on a result of the comparison.